Triple
T20221754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steeple Gidding |
E495271
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Great Gidding |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Great Gidding | Statement: [Steeple Gidding, locatedNear, Great Gidding]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Great Gidding Context triple: [Steeple Gidding, locatedNear, Great Gidding]
-
A.
Great Gidding
chosen
Great Gidding is a small rural village and civil parish in Cambridgeshire, England, known for its historic church and traditional countryside setting.
-
B.
Gidding
Gidding is a surname most notably associated with American screenwriter Nelson Gidding.
-
C.
Steeple Gidding
Steeple Gidding is a small rural village in Cambridgeshire, England, known for its historic church and quiet countryside setting.
-
D.
Geddington
Geddington is a historic village in Northamptonshire, England, best known for its remarkably well-preserved medieval Eleanor Cross.
-
E.
Kiddington
Kiddington is a small rural village in Oxfordshire, England, known for its historic parish church and traditional English countryside setting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fd610f881908fdd22b1f8bd2efc |
completed | April 20, 2026, 6:26 p.m. |
Created at: April 11, 2026, 11:39 p.m.